PHP-Shopify Developer

Job Title: Data Scientist

Location: Bangalore (Hybrid/On-site depending on project needs)

About the Role

We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.

Key Responsibilities

ML & Data Science

• Develop, fine-tune, and evaluate ML models (classification, regression, clustering, recommendation systems).
• Conduct exploratory data analysis, preprocessing, and feature engineering.
• Ensure model reproducibility, scalability, and alignment with business objectives.

GenAI & LLM Applications

• Prototype and design solutions leveraging LLMs (OpenAI, Claude, Mistral, Llama).
• Build RAG (Retrieval-Augmented Generation) pipelines, prompt templates, and evaluation frameworks.
• Integrate LLMs with APIs and vector databases (Pinecone, FAISS, Weaviate).

Product & Engineering Collaboration

• Partner with engineering teams to productionize ML/GenAI models.
• Contribute to API development, data pipelines, technical documentation, and client presentations.

Team & Growth

• Mentor junior data scientists and review technical contributions.
• Stay up to date with the latest ML & GenAI research and tools; share insights across the team.

Required Skills & Qualifications

• 4.5–9 years of applied data science experience.
• Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
• Hands-on experience with LLM APIs (OpenAI, Cohere, Claude) and frameworks (LangChain, LlamaIndex).
• Strong SQL, data wrangling, and analysis skills (pandas, NumPy).
• Experience working with APIs, Git, and cloud platforms (AWS/GCP).

Good-to-Have

• Deployment experience with FastAPI, Docker, or serverless frameworks.
• Familiarity with MLOps tools (MLflow, DVC).
• Experience working with embeddings, vector databases, and similarity search.

The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions.

If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities.

Who are you?

• Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving
• Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions
• You use cloud for more than just provisioning a Virtual Machine
• Vim is friendly to you and you know how to exit Nano
• You check logs before screaming about an error
• You are a solid engineer who writes modular code and commits in GIT
• You are a doer who doesn’t say “no” without first understanding
• You understand the value of documentation of your work
• You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines

Experience

• At least 2 years of Data Engineering Experience
• Have interacted with Customers

Must Have Skills

• Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES
• Apache Spark
• Python
• Scala
• PostgreSQL
• Git
• Linux

Good to have Skills

• Apache NiFi
• Apache Kafka
• Apache Hive
• Docker
• Amazon Certification

Role : Business Development Manager

JOB DESCRIPTION 

DYT - Do Your Thng, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing site requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Should have ability to work independently and multi-task in a fast-paced environment.
• Troubleshooting site interface and debugging developed site codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting site changes and developing updates.
• Should be confident, self-motivated, who work well in team environments.
• Should meet provided deadlines.

• Strong knowledge of Liquid
• Optimize websites to ensure they render consistently in cross-browser environments, with the best SEO principles, caching mechanics, etc.
• Should work on e-commerce projects with different Shopify JS APIs (storefront, AJAX Cart, Sections, etc).
• Shopify Expert must ensure a 100% responsiveness of web design.
• Experience with web/graphic design applications such as Figma,  Adobe XD, Adobe Photoshop,  Adobe Illustrator.
• Working in e-commerce projects while coordinating with other members.
• Act as a Shopify expert, specializing in all facets of the e-commerce platform.
• For Shopify developer job knowledge of HTML5, CSS3, Javascript/Jquery is a must.
• Shopify developer should have strong knowledge on Installing & Customizing the new Shopify theme.
• Shopify developer Expert-level knowledge of Shopify Liquid templating language.
• Exposure to application development & ruby scripting.
• Shopify Plug-in optimization, and customization, Strong knowledge of OOPs.
• Developer must have proven work experience on version control and source code management like GIT, Bitbucket.

JD –

Notice period - Immediate to 15 days

Exp – 5- 10 yrs.

• of 3+ yrs. working as HDE HRMS Functional consultant
• with Implementation / upgrade / user coordination
• with payroll is added adv.
• Excellent communication skills
• Excellent customer facing skills
• Well versed with JDE functionalities

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility